1.1k citations · 1.9k across the 29 of their papers we have counts for
4 papers · 1 filter
Copula Cosmology: Constructing a Likelihood Function
Masanori Sato, Kiyotomo Ichiki, Tsutomu T. Takeuchi
To estimate cosmological parameters from a given dataset, we need to construct a likelihood function, which sometimes has a complicated functional form. We introduce the copula, a…
Precise Estimation of Cosmological Parameters Using a More Accurate Likelihood Function
Masanori Sato, Kiyotomo Ichiki, Tsutomu T. Takeuchi
The estimation of cosmological parameters from a given data set requires a construction of a likelihood function which, in general, has a complicated functional form. We adopt a Ga…
Simulations of Wide-Field Weak Lensing Surveys II: Covariance Matrix of Real Space Correlation Functions
Masanori Sato, Masahiro Takada, Takashi Hamana +1
Using 1000 ray-tracing simulations for a Λ-dominated cold dark model in Sato et al. (2009), we study the covariance matrix of cosmic shear correlation functions, which is the stand…
Re-capturing cosmic information
Hee-Jong Seo, Masanori Sato, Scott Dodelson +2
Gravitational lensing of distant galaxies can be exploited to infer the convergence field as a function of angular position on the sky. The statistics of this field, much like that…